{"id":"W2970882829","doi":"10.14778/3352063.3352146","title":"PNUTS to Sherpa","year":2019,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cloud computing; Computer science; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002148809,0.0001037216,0.0001584269,0.00003777588,0.00004416502,0.0000900356,0.001339107,0.00002826891,0.00001277751],"category_scores_gemma":[0.00001948555,0.00006836665,0.00007728317,0.000381958,0.00001238401,0.000232164,0.0004574216,0.00006795814,0.0001545573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004756512,"about_ca_system_score_gemma":0.00001726257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002759643,"about_ca_topic_score_gemma":6.343724e-7,"domain_scores_codex":[0.9989311,0.000002941263,0.000210234,0.0002676741,0.0003647209,0.000223305],"domain_scores_gemma":[0.9994212,0.00001076277,0.0001196336,0.0002409513,0.0001365907,0.00007082805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003224339,0.0002765771,0.02826366,0.0003302663,0.00008371922,9.42801e-7,0.003446391,0.0002083817,0.2747541,0.6088395,0.05959195,0.02417226],"study_design_scores_gemma":[0.001980949,0.0005614014,0.04001458,0.0008979381,0.00002236003,0.00004489954,0.0005115452,0.007158541,0.4832112,0.009037692,0.4556716,0.0008873179],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8868911,0.0001657234,0.004754485,0.006864747,0.001860778,0.001543507,0.00001184721,0.0001711057,0.09773674],"genre_scores_gemma":[0.9949233,0.000002383411,0.002554876,0.0003871662,0.00003677659,0.00003113554,1.436193e-7,0.000005573039,0.002058625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5998018,"threshold_uncertainty_score":0.2787911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004162837849636569,"score_gpt":0.1913443463766426,"score_spread":0.1871815085270061,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}